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Privacy and Security Issues in Big Data

2021-04-23 Computers
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Release : 2021-04-23
Genre : Computers
Kind : eBook
Book Rating : 07X/5 ( reviews)

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Book Synopsis Privacy and Security Issues in Big Data by : Pradip Kumar Das

Download or read book Privacy and Security Issues in Big Data written by Pradip Kumar Das. This book was released on 2021-04-23. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.

Security, Privacy, and Forensics Issues in Big Data

2019-08-30 Computers
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Release : 2019-08-30
Genre : Computers
Kind : eBook
Book Rating : 441/5 ( reviews)

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Book Synopsis Security, Privacy, and Forensics Issues in Big Data by : Joshi, Ramesh C.

Download or read book Security, Privacy, and Forensics Issues in Big Data written by Joshi, Ramesh C.. This book was released on 2019-08-30. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

Big Data Security

2019-10-08 Computers
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Release : 2019-10-08
Genre : Computers
Kind : eBook
Book Rating : 961/5 ( reviews)

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Book Synopsis Big Data Security by : Shibakali Gupta

Download or read book Big Data Security written by Shibakali Gupta. This book was released on 2019-10-08. Available in PDF, EPUB and Kindle. Book excerpt: After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.

Research Anthology on Privatizing and Securing Data

2021-04-23 Computers
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Release : 2021-04-23
Genre : Computers
Kind : eBook
Book Rating : 556/5 ( reviews)

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Book Synopsis Research Anthology on Privatizing and Securing Data by : Management Association, Information Resources

Download or read book Research Anthology on Privatizing and Securing Data written by Management Association, Information Resources. This book was released on 2021-04-23. Available in PDF, EPUB and Kindle. Book excerpt: With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Handbook of Big Data Privacy

2020-03-18 Computers
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Release : 2020-03-18
Genre : Computers
Kind : eBook
Book Rating : 574/5 ( reviews)

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Book Synopsis Handbook of Big Data Privacy by : Kim-Kwang Raymond Choo

Download or read book Handbook of Big Data Privacy written by Kim-Kwang Raymond Choo. This book was released on 2020-03-18. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

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